|Table of Contents|

User cost model of highway work zone during discrete periods under influence of uncertain factors(PDF)

《交通运输工程学报》[ISSN:1671-1637/CN:61-1369/U]

Issue:
2014年01期
Page:
97-102
Research Field:
交通运输规划与管理
Publishing date:

Info

Title:
User cost model of highway work zone during discrete periods under influence of uncertain factors
Author(s):
YANG Qi1 YANG Yun-feng2 WU Da-yong3 ZHAO Xian-wei1
1. School of Economics and Management, Chang'an University, Xi'an 710064, Shaanxi, China; 2. Shaanxi College of Communications Technology, Xi'an 710018, Shaanxi, China; 3. Department of Civil and Environmental Engineering, Texas Tech University, Lubbock 79409, Texas, USA
Keywords:
transportation economy work zone user cost Monte Carlo method uncertain factor discrete period
PACS:
F812
DOI:
-
Abstract:
The traffic situation of highway work zone during discrete periods was analyzed. By dispersing the work periods, the relationships between the capacities of work zones and user costs during different discrete periods were compared, and the calculation models of user costs during corresponding periods were set up. The uncertain factors of user cost for highway work zone were analyzed. Based on the probability distributions of uncertain factors, the fluctuation scope of user cost was predicted by using Monte Carlo simulation and verified by the example of Qinglian Highway. Calculation result indicates by using the proposed model, the average user cost under the day-time work scheme is 193 148 021 yuan, and the maximum and minimum costs are 466 820 060, 117 342 849 yuan respectively. The average user cost under the night-time work scheme is 1 795 047 yuan, and the maximum and minimum costs are 3 443 468, 1 417 274 yuan respectively. It is found that the application of proposed model can show the influences of uncertain factors well. 3 tabs, 5 figs, 18 refs.

References:

[1] HALLIN J P, SADASIVAM S, MALLELA J, et al. Guide for pavement-type selection[R]. Washington DC: TRB, 2011.
[2] BENNETT C R, GREENWOOD I D. Modeling road user and environmental effects in HDM-4[R]. Washington DC: FHWA, 1995.
[3] BENEKOHAL R F, KAJA-MOHIDEEN A, CHITTURI M V. Evaluation of construction work zone operational issues: capacity, queue, and delay[R]. Urbana: University of Illinois at Urbana-Champaign, 2003.
[4] WALLS J, SMITH M R. Life-cycle cost analysis in pavement design[R]. Washington DC: FHWA, 1998.
[5] 张丰焰,史 强,王元庆.公路养护工程分类方法[J].长安大学学报:自然科学版,2008,28(4):39-42. ZHANG Feng-yan, SHI Qiang, WANG Yuan-qing. Classification of highway maintenance works[J]. Journal of Chang'an University: Natural Science Edition, 2008, 28(4): 39-42.(in Chinese)
[6] 喻东晓,刘黎萍,孙立军.道路维修养护施工期间的用户费用增量的计算方法[J].城市道桥与防洪,2009,9(9):88-91. YU Dong-xiao, LIU Li-ping, SUN Li-jun. Calculation method of incremental road user cost during road maintenance and construction[J]. Urban Roads Bridges and Flood Control, 2009, 9(9): 88-91.(in Chinese)
[7] 章静敏,薛 文,陈立文.费用效益模型在公路养护经济决策中的应用[J].河北工业大学学报,2009,38(3):77-80. ZHANG Jing-min, XUE Wen, CHEN Li-wen. The research of benefit model in highway maintenance economical decision-making[J]. Journal of Hebei University of Technology, 2009, 38(3): 77-80.(in Chinese)
[8] 徐海成.中国收费公路养护运行机制改革[J].长安大学学报:社会科学版,2007,9(4):20-24. XU Hai-cheng. Reform for maintenance mechanism of toll road in China[J]. Journal of Chang'an University: Social Science Edition, 2007, 9(4): 20-24.(in Chinese)
[9] 王子浜,李 嘉,蔡晓萌,等.道路施工区车辆延误分析与交通仿真研究[J].公路,2009(7):253-257. WANG Zi-bang, LI Jia, CAI Xiao-meng, et al. Delay analysis of road work zone by traffic simulation technology[J]. Highway, 2009(7): 253-257.(in Chinese)
[10] 朱坚和,许国初.网级道路施工区用户成本分析与仿真研究[J].中外公路,2009,29(5):297-301. ZHU Jian-he, XU Guo-chu. User cost analysis and simulation research of work zone for network-level roads[J]. Journal of China and Foreign Highway, 2009, 29(5): 297-301.(in Chinese)
[11] 王忠仁.美国施工区交通管理的关键技术和策略[J].重庆交通大学学报:自然科学版,2012,31(3):425-431,464. WANG Zhong-ren. Critical techniques and strategies for US work zone transportation management[J]. Journal of Chongqing Jiaotong University: Natural Science, 2012, 31(3): 425-431, 464.(in Chinese)
[12] 周 浩,康建伟,陈建华,等.蒙特卡罗方法在电力市场短期金融风险评估中的应用[J].中国电机工程学报,2004,24(12):74-77. ZHOU Hao, KANG Jian-wei, CHEN Jian-hua, et al. Evaluating short-term financial risk in the electricity market by applying Monte Carlo method[J]. Proceedings of the CSEE, 2004, 24(12): 74-77.(in Chinese)
[13] 高 昌.基于全寿命周期的清连高速公路养护规划研究[D].西安:西安建筑科技大学,2010. GAO Chang. Maintenance planning of Qinglian Expressway based on its life cycle[D]. Xi'an: Xi'an University of Architecture and Technology, 2010.(in Chinese)
[14] 万礼锋,黄加富,蒋慧杰,等.公路项目中全生命周期成本方法应用研究[J].天津理工大学学报,2006,22(5):63-65. WAN Li-feng, HUANG Jia-fu, JIANG Hui-jie, et al. Study on the application of LCCA method in pavement project[J]. Journal of Tianjin University of Technology, 2006, 22(5): 63-65.(in Chinese)
[15] 董 菲.全生命周期公路工程造价管理研究[J].交通标准化,2013(5):51-53. DONG Fei. Full lifecycle cost management of highway project[J]. Communications Standardization, 2013(5): 51-53.(in Chinese)
[16] JAWAD D, OZBAY K. Probabilistic life-cycle cost optimization for pavement management at the project-level[J]. Transportation Research Record, 2005(1912): 36-43.
[17] LI Zhong-zhi, MADANU S. Highway project level life-cycle benefit/cost analysis under certainty, risk, and uncertainty: methodology with case study[J]. Journal of Transportation Engineering, 2009, 135(8): 516-526.
[18] GUO Tong, LIU Tie, LI Ai-qun. Pavement rehabilitation strategy selection for steel suspension bridges based on probabilistic life-cycle cost analysis[J]. Journal of Performance of Constructed Facilities, 2012, 26(1): 76-83.

Memo

Memo:
-
Last Update: 2014-03-20